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Unbundling Data Science Workflows with Metaflow and AWS Step Functions

易飞加速器用不了了-猴王加速器

by David Berg, Ravi Kiran Chirravuri, Romain Cledat, Jason Ge, Savin Goyal, Ferras Hamad, Ville Tuulos
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Machine Learning for a Better Developer Experience

易飞加速器用不了了-猴王加速器

By Stanislav Kirdey, William High

易飞加速器用不了了-猴王加速器

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Byte Down: Making Netflix’s Data Infrastructure Cost-Effective

易飞加速器用不了了-猴王加速器

By Torio Risianto, Bhargavi Reddy, Tanvi Sahni, Andrew Park
Netflix Studio Engineering Overview

易飞加速器用不了了-猴王加速器

An Introduction to Innovative Engineering within the Studio and Productions

易飞加速器用不了了-猴王加速器

By Hank Jacobs, Senior Site Reliability Engineer on CORE
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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

易飞加速器用不了了-猴王加速器

By Hariharan Ananthakrishnan and Angela Ho
How Netflix brings safer and faster streaming experience to the living room on crowded networks…

易飞加速器用不了了-猴王加速器

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Bringing 4K and HDR to Anime at Netflix with Sol Levante

Bringing 4K and HDR to Anime at Netflix with Sol Levante

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SVT-AV1: an open-source AV1 encoder and decoder

网络加速|网络加速器|免费加速器|上网加速器-ZOL软件下载:2021-5-19 · 迅雷网游加速器 永久免费版 大小: 36.82MB 更新时间: 2021-04-03 软件类型: 网络加速 免费软件 有 84 条点评» 迅雷网游加速器是由深圳迅雷网络技术有限公司独立研发的第三伕网游加速器,它秉承迅雷“快”的精髓,采用最先进的光纤加速技术,能够最有效改善您的网络环境。

by Andrey Norkin, Joel Sole, Mariana Afonso, Kyle Swanson, Agata Opalach, Anush Moorthy, Anne Aaron
Ready for changes with Hexagonal Architecture

Ready for changes with Hexagonal Architecture

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How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience

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By Ben Sykes
Introducing Dispatch

Introducing Dispatch

Netflix is pleased to announce the open-source release of our crisis management orchestration framework: Dispatch!
AVIF for Next-Generation Image Coding

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By Aditya Mavlankar, Jan de Cock, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron
Essential Suite — Artwork Producer Assistant

Essential Suite — Artwork Producer Assistant

By: Hamid Shahid & Syed Haq

Netflix Now Streaming AV1 on Android

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Open-Sourcing riskquant, a library for quantifying risk

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Netflix has a program in our Information Security department for quantifying the risk of deliberate (attacker-driven) and accidental…
DBLog: A Generic Change-Data-Capture Framework

DBLog: A Generic Change-Data-Capture Framework

Andreas Andreakis, Ioannis Papapanagiotou
Netflix Hack Day — November 2024

Netflix Hack Day — November 2024

Hack Day at Netflix is a time to experiment with new ideas/technologies, engage with colleagues across different disciplines, and have fun!
Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

by David Berg, Ravi Kiran Chirravuri, Romain Cledat, Savin Goyal, Ferras Hamad, Ville Tuulos
Data Compression for Large-Scale Streaming Experimentation

Data Compression for Large-Scale Streaming Experimentation

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley

Netflix at AWS re:Invent 2024

by Shefali Vyas Dalal
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Better Offline Metrics at Netflix
GraphQL Search Indexing

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How we leverage relationships defined in GraphQL to automatically build and maintain a search index on our data with minimal configuration.
Open-sourcing Polynote: an IDE-inspired polyglot notebook

Open-sourcing Polynote: an IDE-inspired polyglot notebook

Jeremy Smith, Jonathan Indig, Faisal Siddiqi
Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused…

E变伕理:对于企业来说,确实是一款得心用手的好软件 使用e变IP伕理软件一年多,无论从产品设计上、IP连接性稳定性、软件功能上都有很好的,操作方便,支持定时切换、快捷键切换等功能,能很好的提高工作效率。

By Jeff Chao on behalf of the Mantis team
ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

Faisal Siddiqi
How Netflix microservices tackle dataset pub-sub

How Netflix microservices tackle dataset pub-sub

By Ammar Khaku
Delta: A Data Synchronization and Enrichment Platform

Delta: A Data Synchronization and Enrichment Platform

Part 1: Overview
Evolving Regional Evacuation

Evolving Regional Evacuation

by Niosha Behnam — Demand Engineering @ Netflix
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